Ying-Ying Goh

448 total citations
9 papers, 246 citations indexed

About

Ying-Ying Goh is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Clinical Psychology. According to data from OpenAlex, Ying-Ying Goh has authored 9 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Clinical Psychology. Recurrent topics in Ying-Ying Goh's work include SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 diagnosis using AI (3 papers). Ying-Ying Goh is often cited by papers focused on SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 diagnosis using AI (3 papers). Ying-Ying Goh collaborates with scholars based in United States. Ying-Ying Goh's co-authors include Matthew Feaster, Mark A. Schuster, Gery W. Ryan, Laura M. Bogart, Jennifer Hawes-Dawson, Kimberly Uyeda, Alexander Viloria Winnett, Rustem F. Ismagilov, Reid Akana and Anna E. Romano and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Ying-Ying Goh

8 papers receiving 239 citations

Peers

Ying-Ying Goh
Subhashini Ganesan United Arab Emirates
Stephanie Morrison United States
Chloe Mirzayi United States
Janna R. Shapiro United States
Matthew Feaster United States
Subhashini Ganesan United Arab Emirates
Ying-Ying Goh
Citations per year, relative to Ying-Ying Goh Ying-Ying Goh (= 1×) peers Subhashini Ganesan

Countries citing papers authored by Ying-Ying Goh

Since Specialization
Citations

This map shows the geographic impact of Ying-Ying Goh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying-Ying Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Ying Goh more than expected).

Fields of papers citing papers by Ying-Ying Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Ying Goh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying-Ying Goh. The network helps show where Ying-Ying Goh may publish in the future.

Co-authorship network of co-authors of Ying-Ying Goh

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Ying Goh. A scholar is included among the top collaborators of Ying-Ying Goh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying-Ying Goh. Ying-Ying Goh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Feaster, Matthew, Rudy Patrick, M. Oshiro, et al.. (2024). Notes from the Field: First Locally Acquired Dengue Virus Infections — Pasadena, California, October–December 2023. MMWR Morbidity and Mortality Weekly Report. 73(42). 955–956. 1 indexed citations
3.
Winnett, Alexander Viloria, Reid Akana, Saharai Caldera, et al.. (2023). Extreme differences in SARS-CoV-2 viral loads among respiratory specimen types during presumed pre-infectious and infectious periods. PNAS Nexus. 2(3). 13 indexed citations
4.
Winnett, Alexander Viloria, et al.. (2023). Index cases first identified by nasal-swab rapid COVID-19 tests had more transmission to household contacts than cases identified by other test types. PLoS ONE. 18(10). e0292389–e0292389. 4 indexed citations
5.
Winnett, Alexander Viloria, Reid Akana, Saharai Caldera, et al.. (2023). Daily SARS-CoV-2 Nasal Antigen Tests Miss Infected and Presumably Infectious People Due to Viral Load Differences among Specimen Types. Microbiology Spectrum. 11(4). e0129523–e0129523. 8 indexed citations
6.
Winnett, Alexander Viloria, Michael K. Porter, Anna E. Romano, et al.. (2022). Morning SARS-CoV-2 Testing Yields Better Detection of Infection Due to Higher Viral Loads in Saliva and Nasal Swabs upon Waking. Microbiology Spectrum. 10(6). e0387322–e0387322. 7 indexed citations
7.
Winnett, Alexander Viloria, Anna E. Romano, Michael K. Porter, et al.. (2021). Quantitative SARS-CoV-2 Viral-Load Curves in Paired Saliva Samples and Nasal Swabs Inform Appropriate Respiratory Sampling Site and Analytical Test Sensitivity Required for Earliest Viral Detection. Journal of Clinical Microbiology. 60(2). 59 indexed citations
8.
Feaster, Matthew & Ying-Ying Goh. (2020). High Proportion of Asymptomatic SARS-CoV-2 Infections in 9 Long-Term Care Facilities, Pasadena, California, USA, April 2020. Emerging infectious diseases. 26(10). 2416–2419. 47 indexed citations
9.
Goh, Ying-Ying, Laura M. Bogart, Kimberly Uyeda, et al.. (2009). Using community-based participatory research to identify potential interventions to overcome barriers to adolescents’ healthy eating and physical activity. Journal of Behavioral Medicine. 32(5). 491–502. 107 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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